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Generate intricate textures and patterns with detailed and natural-looking noise using power fractal techniques.
The Perlin Power Fractal Settings (PPF Noise) node is designed to generate complex and detailed noise patterns using Perlin noise combined with power fractal techniques. This node is particularly useful for creating intricate textures and patterns that can be used in various AI art projects. By leveraging the power of fractal mathematics, it allows you to produce highly detailed and natural-looking noise that can be customized through a variety of parameters. The main goal of this node is to provide a versatile and powerful tool for generating noise that can be fine-tuned to meet the specific needs of your artistic projects.
This parameter controls the X-coordinate scaling of the noise pattern. Adjusting this value will stretch or compress the noise along the X-axis, affecting the horizontal detail of the generated noise. The typical range is from 0.0 to 1.0, with a default value of 0.5.
This parameter controls the Y-coordinate scaling of the noise pattern. Similar to the X parameter, adjusting this value will stretch or compress the noise along the Y-axis, affecting the vertical detail of the generated noise. The typical range is from 0.0 to 1.0, with a default value of 0.5.
This parameter controls the Z-coordinate scaling, which can be thought of as adding a third dimension to the noise pattern. This can be useful for creating evolving noise patterns over time. The typical range is from 0.0 to 1.0, with a default value of 0.5.
This parameter controls the evolution of the noise pattern over time. It can be used to animate the noise, creating a dynamic effect. The typical range is from 0.0 to 1.0, with a default value of 0.0.
This parameter specifies the frame number for the noise generation, which can be useful for creating frame-by-frame animations. The typical range is from 0 to 100, with a default value of 0.
This parameter controls the overall scale of the noise pattern. Increasing the scale will make the noise pattern larger and more spread out, while decreasing it will make the noise pattern smaller and more detailed. The typical range is from 0.1 to 10.0, with a default value of 1.0.
This parameter controls the number of octaves used in the fractal noise generation. More octaves will add more layers of detail to the noise pattern, making it more complex. The typical range is from 1 to 10, with a default value of 4.
This parameter controls the amplitude of each successive octave relative to the previous one. Higher persistence values will make the noise pattern more pronounced. The typical range is from 0.0 to 1.0, with a default value of 0.5.
This parameter controls the frequency of each successive octave relative to the previous one. Higher lacunarity values will make the noise pattern more detailed. The typical range is from 1.0 to 3.0, with a default value of 2.0.
This parameter controls the exponent used in the power fractal calculation, affecting the overall appearance of the noise pattern. The typical range is from 1.0 to 3.0, with a default value of 2.0.
This parameter controls the brightness of the generated noise pattern. Adjusting this value will make the noise pattern lighter or darker. The typical range is from 0.0 to 1.0, with a default value of 0.5.
This parameter controls the contrast of the generated noise pattern. Adjusting this value will make the noise pattern more or less contrasted. The typical range is from 0.0 to 1.0, with a default value of 0.5.
This parameter specifies the minimum value to which the noise pattern should be clamped. This can be useful for limiting the range of the noise values. The typical range is from 0.0 to 1.0, with a default value of 0.0.
This parameter specifies the maximum value to which the noise pattern should be clamped. This can be useful for limiting the range of the noise values. The typical range is from 0.0 to 1.0, with a default value of 1.0.
This parameter specifies the seed value for the random number generator used in the noise generation. Changing the seed will produce a different noise pattern. The typical range is from 0 to 2^32-1, with a default value of 0.
This parameter specifies the device on which the noise generation should be performed, such as 'cpu' or 'cuda'. The default value is 'cpu'.
The output is a noise map generated based on the specified input parameters. This noise map can be used as a texture or pattern in various AI art projects. The noise map is a tensor with dimensions corresponding to the specified width and height, and it contains the generated noise values.
scale
, octaves
, and persistence
parameters to achieve a variety of noise patterns, from smooth and simple to complex and detailed.evolution
and frame
parameters to create animated noise patterns that change over time, adding dynamic elements to your art.brightness
and contrast
parameters to fine-tune the visual appearance of the noise pattern, making it more suitable for your specific project.© Copyright 2024 RunComfy. All Rights Reserved.